找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

[復(fù)制鏈接]
查看: 39642|回復(fù): 64
樓主
發(fā)表于 2025-3-21 19:05:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computer Vision – ECCV 2020
副標(biāo)題16th European Confer
編輯Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm
視頻videohttp://file.papertrans.cn/235/234224/234224.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur
描述The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..?..?.
出版日期Conference proceedings 2020
關(guān)鍵詞computer networks; computer vision; education; face recognition; image analysis; image coding; image proce
版次1
doihttps://doi.org/10.1007/978-3-030-58610-2
isbn_softcover978-3-030-58609-6
isbn_ebook978-3-030-58610-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書(shū)目名稱(chēng)Computer Vision – ECCV 2020影響因子(影響力)




書(shū)目名稱(chēng)Computer Vision – ECCV 2020影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Computer Vision – ECCV 2020網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computer Vision – ECCV 2020網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computer Vision – ECCV 2020被引頻次




書(shū)目名稱(chēng)Computer Vision – ECCV 2020被引頻次學(xué)科排名




書(shū)目名稱(chēng)Computer Vision – ECCV 2020年度引用




書(shū)目名稱(chēng)Computer Vision – ECCV 2020年度引用學(xué)科排名




書(shū)目名稱(chēng)Computer Vision – ECCV 2020讀者反饋




書(shū)目名稱(chēng)Computer Vision – ECCV 2020讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:20:43 | 只看該作者
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives,
板凳
發(fā)表于 2025-3-22 04:19:52 | 只看該作者
Generative Low-Bitwidth Data Free Quantization,ization (GDFQ) to remove the data dependence burden. Specifically, we propose a knowledge matching generator to produce meaningful fake data by exploiting classification boundary knowledge and distribution information in the pre-trained model. With the help of generated data, we can quantize a model
地板
發(fā)表于 2025-3-22 07:14:08 | 只看該作者
5#
發(fā)表于 2025-3-22 10:58:17 | 只看該作者
6#
發(fā)表于 2025-3-22 13:29:26 | 只看該作者
7#
發(fā)表于 2025-3-22 17:30:59 | 只看該作者
8#
發(fā)表于 2025-3-22 23:09:01 | 只看該作者
Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues,he forgery patterns via our two-stream collaborative learning framework. We apply DCT as the applied frequency-domain transformation. Through comprehensive studies, we show that the proposed F.-Net significantly outperforms competing state-of-the-art methods on all compression qualities in the chall
9#
發(fā)表于 2025-3-23 02:43:44 | 只看該作者
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation,rent layer of the framework during domain finetuning from synthetic to real allows preservation of the visuo-temporal features learned from sequential synthetic hand images. Hand poses that are sequentially estimated consequently produce natural and smooth hand movements which lead to more robust es
10#
發(fā)表于 2025-3-23 05:41:23 | 只看該作者
Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization, undervalued before due to the lack of cross-camera information, to achieve competitive ReID performance. Experiments on a wide range of ReID tasks demonstrate the effectiveness of our approach. The code is available at ..
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 18:05
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
威海市| 大厂| 含山县| 磐安县| 建水县| 甘孜| 宁陕县| 万源市| 正阳县| 孟津县| 舟山市| 鲁甸县| 宾川县| 祁门县| 财经| 宜兰县| 平和县| 阿图什市| 新乡县| 澎湖县| 寻乌县| 正宁县| 顺昌县| 南昌市| 西城区| 平邑县| 神木县| 海城市| 龙山县| 敖汉旗| 仙游县| 日土县| 天祝| 和顺县| 珠海市| 罗甸县| 深州市| 新昌县| 阳新县| 沐川县| 天峻县|